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Deep Dive into Peru’s Power-Generating Technology Costs until 2035

Pasquel, Tatiana LU (2015) In IIIEE Master thesis IMEN56 20151
The International Institute for Industrial Environmental Economics
Abstract
The desire to know what the future might bring has always been part of the human nature
and as human beings, we have extrapolated that desire to most aspects of our surroundings.
Energy is a basic need for human development, and thus, energy deployment has not been
exempt from that desire. Nowadays, energy models have become a standard tool to assess
many areas of the energy sector, including projections of future energy costs. Statkraft AS, in
an attempt to strengthen its position within the emerging markets where it is present, has
developed a power cost projection model based on macroeconomic indicators and capable to
integrate learning rates from experience curves. The model seeks to provide the future energy
costs (CAPEX &... (More)
The desire to know what the future might bring has always been part of the human nature
and as human beings, we have extrapolated that desire to most aspects of our surroundings.
Energy is a basic need for human development, and thus, energy deployment has not been
exempt from that desire. Nowadays, energy models have become a standard tool to assess
many areas of the energy sector, including projections of future energy costs. Statkraft AS, in
an attempt to strengthen its position within the emerging markets where it is present, has
developed a power cost projection model based on macroeconomic indicators and capable to
integrate learning rates from experience curves. The model seeks to provide the future energy
costs (CAPEX & LCOE) of selected technologies, namely, onshore wind, solar PV and
CCGT, until 2035. This study explores the model’s theoretical foundations and addresses its
results within the Peruvian energy market. (Less)
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author
Pasquel, Tatiana LU
supervisor
organization
course
IMEN56 20151
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Energy technology, experience curves, energy models, renewable energy, LCOE
publication/series
IIIEE Master thesis
report number
2015:05
ISSN
1401-9191
language
English
id
8168502
date added to LUP
2015-11-11 08:09:12
date last changed
2015-11-11 08:09:12
@misc{8168502,
  abstract     = {The desire to know what the future might bring has always been part of the human nature
and as human beings, we have extrapolated that desire to most aspects of our surroundings.
Energy is a basic need for human development, and thus, energy deployment has not been
exempt from that desire. Nowadays, energy models have become a standard tool to assess
many areas of the energy sector, including projections of future energy costs. Statkraft AS, in
an attempt to strengthen its position within the emerging markets where it is present, has
developed a power cost projection model based on macroeconomic indicators and capable to
integrate learning rates from experience curves. The model seeks to provide the future energy
costs (CAPEX & LCOE) of selected technologies, namely, onshore wind, solar PV and
CCGT, until 2035. This study explores the model’s theoretical foundations and addresses its
results within the Peruvian energy market.},
  author       = {Pasquel, Tatiana},
  issn         = {1401-9191},
  keyword      = {Energy technology,experience curves,energy models,renewable energy,LCOE},
  language     = {eng},
  note         = {Student Paper},
  series       = {IIIEE Master thesis},
  title        = {Deep Dive into Peru’s Power-Generating Technology Costs until 2035},
  year         = {2015},
}